Triple
T4437065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malcolm |
E95676
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Malcom |
E95676
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Malcom | Statement: [Malcolm, hasVariant, Malcom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malcom Context triple: [Malcolm, hasVariant, Malcom]
-
A.
Malcolm
chosen
Malcolm is a masculine given name of Scottish origin, traditionally meaning "disciple of Saint Columba."
-
B.
Malcolm
Malcolm is a central human character in "Dawn of the Planet of the Apes," portrayed as a compassionate leader who strives to build peace and cooperation between humans and the intelligent apes.
-
C.
Malcolm Ross
Malcolm Ross is a linguist known for his influential work on the classification and historical relationships of Papuan and Oceanic languages, particularly in the Northwest Solomonic region.
-
D.
Malcolm Delaney
Malcolm Delaney is an American professional basketball player known for his standout college career at Virginia Tech and his subsequent play in the NBA and top European leagues.
-
E.
Malcolm Dixon
Malcolm Dixon was a British actor and dwarf performer best known for his roles in fantasy and science-fiction films of the late 20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3558b1d4481909060ede5e0ded4bc |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6137960908190814cbdf0b4e56542 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:31 p.m.